Introduction

• Data acquisition is to capture the signal and encode in a form suitable for computer processing.
• Signal conditioning is to remove noise and artifacts from the signal.
• Feature extraction is to extract relevant information from the signal.
• Hypothesis testing is to test the hypothesis based on the extracted features.

Signal condtioning

Signal conditioning

data  = sio.loadmat(path_ecg+"/JS00001.mat")

print(type(data))

<class 'dict'>

print(data.keys())

dict_keys(['val'])

print(type(data['val']))

<class 'numpy.ndarray'>

print(data['val'].shape)

(12, 5000)

Signal conditioning